2022
DOI: 10.1080/2374068x.2022.2045821
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Investigation into the effects of milling input parameters on the material removal rate and surface roughness of polypropylene + 80 wt. % quarry dust composite during machining

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Cited by 3 publications
(5 citation statements)
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“…The primary cutting resistance during turning (F 1 ) is directly influenced by the cutting depth (a) and the feed rate (s), as well as coefficients specific to the material being processed. Other components that affect the cutting resistance force in the turning process are determined in relation to the main cutting resistance (F 1 :F 2 :F 3 = 5:2:1) [ 27 , 38 , 39 ]. However, these components are not the focus of consideration in this study.…”
Section: Resultsmentioning
confidence: 99%
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“…The primary cutting resistance during turning (F 1 ) is directly influenced by the cutting depth (a) and the feed rate (s), as well as coefficients specific to the material being processed. Other components that affect the cutting resistance force in the turning process are determined in relation to the main cutting resistance (F 1 :F 2 :F 3 = 5:2:1) [ 27 , 38 , 39 ]. However, these components are not the focus of consideration in this study.…”
Section: Resultsmentioning
confidence: 99%
“…This material has become indispensable in both everyday life and business due to its exceptional durability, chemical resistance, ease of processing, and affordability. With excellent prospects for the future and favorable operational characteristics [ 38 , 56 , 57 , 58 ], polypropylene is highly regarded in various applications. Considerations regarding the influence of static and dynamic factors on the process flow, machining accuracy, and other impacts on cutting force guided the selection of a machine with a precision of 0.01 mm.…”
Section: Methodsmentioning
confidence: 99%
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“…In MQL-assisted face milling of AISI O 2 steel, Kursuncu and Biyik (2021) optimized Ra and cutting force using GRA and the Taguchi technique. Shagwira et al (2022) applied a Taguchi L9 orthogonal array to design an experiment and optimize the responses in the machining of polypropylene with 80 wt. % quarry dust composite.…”
Section: Optimization Of Input Parameters and The Research Gapmentioning
confidence: 99%